Titlebook: Intelligent Information and Database Systems; 8th Asian Conference Ngoc Thanh Nguyen,Bogdan Trawiński,Tzung-Pei Hong Conference proceedings

Deflated

書目名稱Intelligent Information and Database Systems影響因子(影響力)




書目名稱Intelligent Information and Database Systems影響因子(影響力)學科排名




書目名稱Intelligent Information and Database Systems網(wǎng)絡(luò)公開度




書目名稱Intelligent Information and Database Systems網(wǎng)絡(luò)公開度學科排名




書目名稱Intelligent Information and Database Systems被引頻次




書目名稱Intelligent Information and Database Systems被引頻次學科排名




書目名稱Intelligent Information and Database Systems年度引用




書目名稱Intelligent Information and Database Systems年度引用學科排名




書目名稱Intelligent Information and Database Systems讀者反饋




書目名稱Intelligent Information and Database Systems讀者反饋學科排名

Lime石灰

Design and Implementation of Data Synchronization and Offline Capabilities in Native Mobile Appsdevice app as a distributed storage system. The solution aggregates the best practices in business and academic research to achieve a reduction in redundant data transfer and an ability to work offline in smart devices.

闡釋

generic

現(xiàn)暈光

健壯

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469757.jpg

hankering

fulcrum

0302-9743 dings of the 8th Asian Conference on IntelligentInformation and Database Systems, held in Da Nang, Vietnam, in March 2016. Thetotal of 153 full papers accepted for publication in these proceedings wascarefully reviewed and selected from 392 submissions. .They wereorganized in topical sections named:

不連貫

Resource Allocation for Virtual Service Based on Heterogeneous Shared Hosting Platformssting platforms for virtual services. We construct the problem as an optimized formulation that uses a linear programming to minimize the number of physical machines. The solution for this formulation is applying the Greedy algorithms to solve and evaluate via emulation-based program.

騙子

Cooperation Prediction in GitHub Developers Network with Restricted Boltzmann Machinee is fed to RBM in order to provide new sparse coded feature space that is used in order to estimate parameters of classical inference models. By accomplishing link prediction with proposed RBM pre-processing noticeable increase of all accuracy related measures was observed in comparison to state-of-the-art approaches.